The society is becoming increasingly dependent on digital data sources. However, our trust on the sources and its contents is only ensured if we can also rely on robust methods that prevent fraudulent forgery. As digi...
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ISBN:
(数字)9783030582197
ISBN:
(纸本)9783030582180;9783030582197
The society is becoming increasingly dependent on digital data sources. However, our trust on the sources and its contents is only ensured if we can also rely on robust methods that prevent fraudulent forgery. As digital forensic experts are continually dealing with the detection of forged data, new fraudulent approaches are emerging, making it difficult to use automated systems. This security breach is also a good challenge that motivates researchers to explore computational solutions to efficiently address the problem. This paper describes a weighted rule-based system for file forgery detection. The system was developed and validated in the several tasks of ImageCLEFsecurity 2019 track challenge, where promising results were obtained.
This paper presents an overview of the ImageCLEF 2019 lab, organized as part of the Conference and Labs of the Evaluation Forum - CLEF Labs 2019. ImageCLEF is an ongoing evaluation initiative (started in 2003) that pr...
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ISBN:
(数字)9783030285777
ISBN:
(纸本)9783030285777;9783030285760
This paper presents an overview of the ImageCLEF 2019 lab, organized as part of the Conference and Labs of the Evaluation Forum - CLEF Labs 2019. ImageCLEF is an ongoing evaluation initiative (started in 2003) that promotes the evaluation of technologies for annotation, indexing and retrieval of visual data with the aim of providing information access to large collections of images in various usage scenarios and domains. In 2019, the 17th edition of ImageCLEF runs four main tasks: (i) a medical task that groups three previous tasks (caption analysis, tuberculosis prediction, and medical visual question answering) with new data, (ii) a lifelog task (videos, images and other sources) about daily activities understanding, retrieval and summarization, (iii) a new security task addressing the problems of automatically identifying forged content and retrieve hidden information, and (iv) a new coral task about segmenting and labeling collections of coral images for 3D modeling. The strong participation, with 235 research groups registering, and 63 submitting over 359 runs, shows an important interest in this benchmark campaign.
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